Description: 该程序是在vc环境下编写的bp神经网络c++类库，能够广泛应用于人脸检测以及动作监控。-The program environment in vc prepared bp neural network c++ Class library that can widely used in face detection and action monitoring. Platform: |
Size: 20480 |
Author:孙继开 |
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Description: mop网页游戏猫游记外挂，可多开，5个帐号同时行动，自动跑路，路径自动记录，反外挂检测，出现检测窗口时声音报警，管理员在附近时自动报警并停止外挂-mop the cat' s Travels game page plug-in can be more open five accounts at the same time action, automatic跑路, path automatically record, anti-plug detection, detection window appears when the voice of alarm, the administrator when the automatic alarm in the vicinity and to stop the plug-in Platform: |
Size: 105472 |
Author:protoss |
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Description: 基于水平垂直投影图的人体动作分类器，贝叶斯分类方法，含样本图。可对视频文件实时检测，基于opencv库-Based on the level of the vertical projection of human action classification, and Bayesian classification methods, including sample plans. Video files can be real-time detection, based on the opencv library Platform: |
Size: 1937408 |
Author:sherry |
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Description: 摘要：针对SIFT 特征提取的硬件实现结构复杂、难以达到实时性的问题，提出一种改进的高斯金字塔构建方法，该方法从
构建高斯金字塔的原始意义出发，大幅减少了所需的运算时间和存储单元。同时提出并验证了合适的SIFT 参数配置，以及
具体的硬件优化和并行实现方案，使整个系统可以在一片单独的FPGA 芯片上实现。该系统读入串行像素数据流，输出关键
点的特征描述符，并采用256×256 的图像对其进行了仿真验证，结果表明完全达到了实时的效果。
关键词：特征点 实时 尺度不变特征变换 现场可编程逻辑门阵列 高斯差-Abstract：To solve the complexity of hardware implementation of SIFT feature detection and hard to achieve a real time action, an advanced
method of building Gaussian filter cascade is presented. This method is based on the original purpose of Gaussian filter cascade
and greatly reduces the time and memory of computation. Suitable parameters of SIFT are given out and verified, and also, detail of
the parallel hardware architecture systemis proposed, which can embed whole system on a single chip. This architecture receives a pixel
stream as input and produces as output the detected features of key point. The performance of the system is checked up with images of
256*256 pixels and it gives a absolutely real time result.
Key words：feature point real time SIFT FPGA DOG Platform: |
Size: 241664 |
Author:李齐贤 |
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Description: 一篇关于总结了行为识别各种资源的论文，涵盖了通常的数据集、兴趣点检测，特征提取的方法以及识别检测的算法-A paper that summarizes the various resources of behavior recognition, covering the normal data set, the interest point detection, feature extraction methods and the identification detection algorithm Platform: |
Size: 301056 |
Author:fly.xiao |
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Description: A network of Sensor Nodes can be installed in a forest to detect when a fire has started. The nodes can be equipped with sensors to measure temperature, humidity and gases which are produced by fire in the trees or vegetation. The early detection is crucial for a successful action of the firefighters Platform: |
Size: 11264 |
Author:aa |
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Description: 此系统是基于Opencv和VC，可以检测到运动中的物体，对于动作识别有很大的帮助！-This system is based on Opencv and VC can detect the movement of objects, a great help for action recognition! Platform: |
Size: 1656832 |
Author:杨天威 |
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Description: LDA的c++源代码，可以直接集成在vs2010中，用于对文档分析以及视频的动作识别。-It includes C++ source code for LDA and it can be used directly in VS2010 for document analysis and action detection. Platform: |
Size: 6144 |
Author:徐琼 |
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Description: 行为分析中的打架识别文章，网上很难下载到-action analysis paper on fighting detection, this paper cannot be easily found from internet Platform: |
Size: 775168 |
Author:李建平 |
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Description: 便携式肌电信号采集和人体动作识别，使用的飞思卡尔的芯片，文件包含工程和解释性文件-portable EMG signal detection and human action collect, use freescale microchip ,file includes source code and explain files Platform: |
Size: 4889600 |
Author:jiangke |
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Description: 可以实现对运动的捕捉，文件中有一段测试程序，可以实现简单的跟踪功能。-Can be achieved on the motion capture, file, there is a test program, you can achieve a simple tracking. Platform: |
Size: 625664 |
Author:罗枫 |
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Description: This paper advances prior work by proposing a joint learning
framework to simultaneously identify the spatial and temporal
extents of the action of interest in training videos. To get pixel-level
localization results, our method uses dense trajectories extracted
videos as local features to represent actions. We first
present a trajectory split-and-merge algorithm to segment a video
into the background and several separated foreground moving
objects. In this algorithm, the inherent temporal smoothness
of human actions is exploited to facilitate segmentation. Then,
with the latent SVM framework on segmentation results, spatial
and temporal extents of the action of interest are treated as
latent variables that are inferred simultaneously with action
recognition. Experiments on two challenging datasets show that
action detection with our learned spatial and temporal extents is
superior than state-of-the-art methods. Platform: |
Size: 4917248 |
Author:robin |
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Description: An Augmented Reality app that demonstrates basic computer vision concepts such as greyscaling, thresholding, edge detection, homography, corner detection...its a long list. It paints a 3D image on any detected markers.
Here is a crude video that shows the application in action. Here is a marker with the a 3D object (the CNU logo) rendered correctly on its surface plane. Beside it is the marker with no image. Platform: |
Size: 7094272 |
Author:穿山甲说
|
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Description: The challenging task is to identify the human activity by the CCTVs. Every person cannot be monitored in this growing era. There are cameras installed on every step in the smart cities. Over 8,000 cameras are installed in the city Lahore to monitor the suspicious activities and supervision. Human surveillance over these cameras requires great effort.
For this purpose, machine can be made intelligent with the help of some neural network. Cameras can detect any type of suspicious activities by their own. If any of the suspicious activity will happen under the range of camera, it will be detected and pass on to the buzzer for further action. The suspicious activity can be recognized as snatching of mobile phones, purse and other things. The snatching which is done on gun point will also be recognized by the camera, murder of someone and the fighting scene would also be detected by the camera. This idea can be planted with the help of drones for the surveillance of massive crowds. To keep an eye on the massive crowd and its suspicious activity can be detected with the help of this model. The idea can be helpful in the streets of the city to reduce the crime.
Platform: |
Size: 1177271 |
Author:romeorajpoot684@gmail.com |
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Search - action detection